HighByte

Making industrial data useful #DataOps #IndustrialAI #Edge

[HighByte @HighByteInc]

➡️ ⬅️ Bridging the gap between IT and OT is the first step in scaling #IndustrialAI, but there's more to it than connecting systems. Manufacturers also need accessible, contextualized data that's ready to support enterprise applications.

In his new blog, Marteen De Vries, Strategic Alliance Manager at @Mendix explores how @Siemens and HighByte are combining Industrial #DataOps with Siemens Industrial Edge and Intelligence Center X to address this challenge.

He also spotlights how glass manufacturer Vivix Vidros Planos is using this approach to scale AI across its manufacturing operations, including efforts that have helped extend the operating life of a $120 million glass furnace by two years.

📖 Read the full post: https://t.co/B2Vt8Hp3N5

[HighByte @HighByteInc]

🧱 Advanced analytics and AI are creating new opportunities across operations, but scaling these initiatives requires a strong industrial data foundation.

The new Maturity Model for Industrial Data Management white paper, published by HighByte with insights developed by @awscloud, provides a 3-stage framework to help you assess your current industrial data capabilities and identify steps needed to advance your data maturity.

In this white paper, you'll learn:

➡️ The 3 stages of industrial data maturity: Foundation, Intelligence, and Transformation
➡️ How to assess maturity across use cases, technology, processes, and governance
➡️ The role of Industrial DataOps in supporting advanced analytics, generative, and agentic AI

📥 Download the paper here: https://t.co/GDpi3A7GCW

[HighByte @HighByteInc]

🍵 Hot take: AI is exposing the factory's integration debt.

In this new @MfgTodayMag article, HighByte CTO Aron Semle argues that AI is exposing decades of point-to-point “spaghetti” integration in factories, and that manufacturers must add a contextualized, governed data layer on top of existing systems before AI can scale.

“You cannot come into a plant and start ripping out PLC connectivity, HMI, SCADA or the systems that are running the business today,” Semle says. “You need to hook into what is already there and provide an augmentation layer. It connects to the existing systems, gives the data a common taxonomy, contextualizes and governs it, and then provides access. The consumer should not have to understand all the complexity that has been built underneath over the previous 10 or 15 years.”

More here: https://t.co/3SCRWo9TZd

[HighByte @HighByteInc]

🛫 After a whirlwind run of #DataOps Days across the U.S., the 2026 tour heads to its final stop in just two weeks: Munich.

Our partners at @Novotek_AB are hosting "DataOps Day Munich: Industrial AI Starts with Trusted Data" on October 30 at @Siemens global headquarters.

Join the Novotek team and industry leaders from @Snowflake, Siemens, and HighByte alongside Aristotles Tercerio Neto, Head of Industrial Transformation at Vivix Vidros Planos, for a day focused on building the data foundation that #IndustrialAI depends on.

Attendees will gain strategic insights, learn how contextualized data is accelerating AI initiatives, and network with fellow manufacturers, data leaders, and digital transformation experts.

🎟️ Register here: https://t.co/hh0Jqcz0rt

[HighByte @HighByteInc]

🏆 HighByte is proud to be recognized as one of the 2026 Best Places to Work in Maine, ranking 6th out of 42 companies in the small employer category!

The annual recognition, presented by @BestCompaniesGP, is based on an assessment of company practices, programs, benefits, and employee feedback.

🙏 A big thank you to our team for making HighByte a great place to work. This recognition reflects the people, culture, and shared values that make our company what it is today.

#BestPlacestoWork #BestPlacesME #Maine

[HighByte @HighByteInc]

🔥 It's official: HighByte announces partnership with @databricks, providing the bridge between industrial data and AI-ready analytics for manufacturers like @gerdau.

Gerdau, one of the largest steel producers in the Americas, explains the impact of this partnership in production. Using the Intelligence Hub, Gerdau contextualizes OT data closer to its source and streamlines its delivery into the Databricks Data + AI Platform. The result is less custom integration to build and maintain, and faster deployment of new data-driven initiatives.

“HighByte has helped us simplify the integration of industrial data into Databricks and significantly reduce the time it takes for operational data to become available to our digital applications.”
💬 Felipe Amorim, Global Tech Architecture Manager at Gerdau

Thank you to @PackIot for supporting the deployment and ongoing operation in Brazil.

🗞️ Read the announcement here: https://t.co/qm2u3dLYFO

[HighByte @HighByteInc]

Industrial AI doesn’t scale on ambition. It scales on data you can trust.

That’s the takeaway from @arc_advisory's Craig Resnick, who joined us at #DataOps Day Boston on October 8. His recap of the day covers:

✅ Why context is the prerequisite for Industrial AI
✅ Why the industry is transitioning from a Unified Namespace to a Data Control Plane as AI agents proliferate
✅ How cloud-native platforms like @awscloud, @Snowflake, and @Siemens Intelligence Center X extend the value of contextualized OT data
✅ Why humans stay accountable in regulated and safety-critical operations

Thank you to Craig for the thoughtful summary, and to every speaker and attendee who so candidly shared your perspectives throughout the day.

Read the full analysis here: https://t.co/0UuVM7yoAM

[HighByte @HighByteInc]

🏗️ HighByte Intelligence Hub 4.5 makes building pipelines faster and easier, so you can spend more time getting value from the software and less time configuring it.

In this demo, HighByte CTO Aron Semle shows off a few new features:

🔍 Searchable references, allowing you to find any input by name in seconds
🖼️ Auto-fit view that frames your entire pipeline
⚡ Inline stages on triggers that open their configuration as you drop them
🎯 Path controls on read and write stages to grab exactly the value you need, without extra transform stages

Less configuration. Cleaner pipelines. See them for yourself: https://t.co/tNv61ETECL

[HighByte @HighByteInc]

🕸️ What happens when you add AI to a factory where operators already have to work across six, eight, or even ten different systems?

It inherits the fragmented data, inconsistent definitions, and missing context that those systems create.

In a new @Ind_today article, HighByte Chief Product Officer John Harrington looks at the data challenges that can limit #IndustrialAI, from disconnected systems to limited governance.

He also outlines how manufacturers can create a more consistent data foundation across machines, systems, and sites before expanding AI across operations.

📖 Read the full article: https://t.co/wn165jdplU

[HighByte @HighByteInc]

💰 What’s the revenue impact of getting your industrial data strategy right?

According to a study conducted by @IDC, manufacturers using #HighByte Intelligence Hub reported $8.75M in additional annual revenue.

By integrating with cloud and low-code platforms, organizations accelerated AI innovation and positioned themselves ahead of major competitors.

🔗 See how manufacturers are turning Industrial #DataOps into growth. Download the complete IDC study here: https://t.co/q8LroHxMXi

[HighByte @HighByteInc]

🚧 Standing up a new industrial data project can mean a lot of manual steps. Connect to a source; browse the address space; build a model; create an instance; establish a pipeline.

That's why we significantly expanded the #MCP configuration tools in HighByte Intelligence Hub to support the use of AI for configuration work.  

🎥 In this demo, Aron Semle begins with a completely empty project in the Intelligence Hub and provides a single prompt to an AI agent. From there, the agent uses the new configuration tools to:

✅ Browse the source and locate the injection molding machine data
✅ Create the connections from scratch
✅ Build the data model and instance
✅ Assemble a pipeline that reads the instance and publishes to a topic
✅ Deliver contextualized data to the UNS, in minutes

Watch here: https://t.co/wDLL6aXkWb

[HighByte @HighByteInc]

👋 On October 8, manufacturing leaders from @Regeneron, @awscloud, @Snowflake, @Siemens, and more are coming together for #DataOps Day Boston—a 1-day event hosted by HighByte and dedicated to the people rethinking industrial data, from architecture to governance.

🎤 Don't miss Rory Sheehan of Deep Digital Solutions Group kick off the day with a case study on bringing alarm rates at a validated pharmaceutical plant back within globally accepted limits. He'll cover the standards that guided the approach and the AI-driven use cases enabled by a stronger alarm management foundation.

Only a few seats are left, so save yours today. All ticket proceeds go to @GirlsWhoCode. 🎟️👇
https://t.co/FLvSCF2YBw

[HighByte @HighByteInc]

🗞️ A new edition of the HighByte Resource Round-Up newsletter is here!

💡 Explore new research and analyst perspectives on AI readiness and Industrial #DataOps, plus Intelligence Hub version 4.5 demos and examples from @goustocooking and @Stellantis showing how contextualized industrial data can support analytics and AI at scale.

✅ This edition brings together industry insights, customer examples, and new research to show how manufacturers are improving data quality, demonstrating ROI, and building a stronger foundation for AI.

🔗 https://t.co/B1jB5TSTrh

[HighByte @HighByteInc]

🌷 HighByte returns to Operations Calling next week!

Join us in Somerville, MA on October 6-7 for @tulipinterfaces' two-day event packed with product announcements and insights from industry experts. The HighByte team will exhibit in the Partner Ecosystem room, ready to talk Industrial DataOps and show you how build the data foundation required for enterprise operations and agentic AI.

Staying an extra day? Join us at #DataOps Day Boston on October 8. We have an incredible lineup of speakers with all ticket proceeds going to @GirlsWhoCode.

🎟️ Register here: https://t.co/qn1go3TOuk

[HighByte @HighByteInc]

🏋️ What if AI could do the heavy lifting for repetitive #DataOps tasks? This interactive demo shows you how.

See for yourself what AI for DataOps looks like in #HighByte Intelligence Hub. Step by step, you'll learn about two capabilities that accelerate how industrial data is modeled and moved:

🤖 The Modeling Agent. Upload context files, prompt your LLM to generate a Model, then accept it or keep iterating.

🤖 The Pipeline AI Agent. Ask AI to explain how an existing Pipeline is configured, then prompt it to change how that Pipeline works—or use the agent to create a new Pipeline—reviewing every proposed modification before you save.

🔗 Explore at your own pace: https://t.co/JyFnQqGEI4

[HighByte @HighByteInc]

🛫 HighByte is heading to Cleveland next week for MX.0 Midwest, a manufacturer-led event focused on industrial data, AI, automation, and IT/OT convergence.

Don't miss HighByte's Jeffrey Schroeder on Wednesday, 9/30 at 12:35 PM: "Why You Should Think About Your Data like the Products You Manufacture."

🎤 Manufacturers build every product to spec, but rarely apply that same rigor to the data flowing through their operations. Jeffrey’s session will introduce the industrial data product and a practical framework for making data fit for purpose and ready for AI agents that actually work in manufacturing.

Staying an extra day? Join us at #DataOps Day Cleveland on 10/02. Limited tickets remain.

🎟️ Register here: https://t.co/VJAjYcAONA

[HighByte @HighByteInc]

🏭 Getting industrial data into the cloud is one thing. Making it usable for AI, analytics, and applications is another.

The @awscloud Industrial Data Fabric brings together AWS services and partner technologies like #HighByte Intelligence Hub to help manufacturers access contextualized industrial data through streaming, bulk, query, and API orchestration.

HighByte prepares industrial data close to the source, adding the structure and context downstream applications need before AWS services consume and use it.

The result: A reusable data foundation that supports analytics, automation, machine learning, and Industrial AI without treating every new use case as a separate integration project.

📖 Learn more: https://t.co/Wd0PTWvcuW

[HighByte @HighByteInc]

🚀 On October 2, we're bringing together an impressive lineup of leaders from @FedEx, @MSAsafety, @CESMII_SM, Deep Digital Solutions Group, @awscloud, @Snowflake, and @solacedotcom for #DataOps Day Cleveland—a full day dedicated to the people transforming industrial data architectures and governance.

Hear customer perspectives, technical insights, and cross-industry panels on building a strong data foundation, the evolving role of #i3X, and what it takes to scale Industrial DataOps across the enterprise.

A few spots remain! Register today to join us in Cleveland. All ticket proceeds support @GirlsWhoCode. 🎟️👇
https://t.co/Uu41fMy5ke

[HighByte @HighByteInc]

💡  Industrial data can only create value when the right people and systems can actually use it.

In this article, HighByte co-founder @ToreyMarie breaks down how #i3X is addressing data fragmentation with an open, vendor-neutral API designed to make contextualized industrial data easier for applications to browse, read, write, and subscribe to. She shares the history behind the working group, how i3X is being deployed today, and what it could mean for the future of OT and IT integration.

📍 If you’re at #ICCUnleashed this week, stop by Aron Semle and Jeffrey Schroeder's session on Wednesday, September 23 at 12:30 pm to see i3X in action.

They’ll demonstrate a real-world use case with the Intelligence Hub’s i3X Server and Ignition, showing how to move beyond siloed OT systems and support enterprise applications, analytics, and agentic AI.

📖 Read the post: https://t.co/zn1aB48wJF

[HighByte @HighByteInc]

🔧 One system says "GPM." Another says "gal/min."

Same measurement. Different labels. Multiply that across every unit, code, and tag in your operation, and standardizing it by hand turns into a full-time job.

The new Lookup Maps capability in HighByte Intelligence Hub version 4.5 turns that translation work into a single, reusable reference your Pipelines can call in real time.

In this demo, see how to:

✅ Standardize units, equipment codes, status codes, and more
✅ Build a static map directly in the Intelligence Hub or a dynamic map populated by a Pipeline
✅ Enable colleagues to maintain the reference data from a simple CSV, no product expertise required
✅ Set a refresh interval so cached values stay current

The result: consistent, contextualized data flowing into your Models without the manual cleanup.

▶️ Watch the demo here: https://t.co/wkH6Qx43AL